Run
8771864

Run 8771864

Task 145854 (Supervised Classification) nomao Uploaded 03-01-2018 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees430
mlr.classif.ranger(16)_mtry3
mlr.classif.ranger(16)_min.node.size56
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.439237094321288
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9918
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9564
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8923
Cross-validation details (10-fold Crossvalidation)
KB relative information score
26284.714
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.108
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4081
Cross-validation details (10-fold Crossvalidation)
Number of instances
34465
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9566
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9568
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9568
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2645
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1923
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1374.2655
UserCPU time millis
155.914
UserCPU time millis testing
6.372
UserCPU time millis training
149.542